US6810367B2 - Method and apparatus for responding to threshold events from heterogeneous measurement sources - Google Patents

Method and apparatus for responding to threshold events from heterogeneous measurement sources Download PDF

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US6810367B2
US6810367B2 US10/214,309 US21430902A US6810367B2 US 6810367 B2 US6810367 B2 US 6810367B2 US 21430902 A US21430902 A US 21430902A US 6810367 B2 US6810367 B2 US 6810367B2
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threshold
data
event
measurement data
heterogeneous scalar
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US20040030537A1 (en
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David L. Barnard
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Viavi Solutions Inc
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Agilent Technologies Inc
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06—Management of faults, events, alarms or notifications
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/16—Threshold monitoring
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06—Management of faults, events, alarms or notifications
    • H04L41/0604—Management of faults, events, alarms or notifications using filtering, e.g. reduction of information by using priority, element types, position or time

Definitions

  • the present invention relates to responding to threshold events from heterogeneous measurement sources on a network.
  • Network administrators need to be able to get measurements from devices on a network. Examples of devices from which measurements may need to be taken include, for example, routers, switches, servers, clients, PCs, telecommunications equipment, voice gateways, etc. Network administrators sometimes need to set thresholds and determine whether scalar measurements from monitored network devices cross those thresholds. For example, a network administrator may want to be alerted when usage exceeds 80% of network capacity. When dealing only with network devices that are controlled by one protocol, for example, SNMP, setting such thresholds and being alerted when they are violated is well known in the art.
  • SNMP When dealing only with network devices that are controlled by one protocol, for example, SNMP, setting such thresholds and being alerted when they are violated is well known in the art.
  • CMIP complementary metal-oxide-semiconductor
  • Scalar measurement data from a plurality of network devices that are not all monitored using the same protocol is heterogeneous as to its source.
  • network administrators are required to individually set thresholds for each distinct protocol, monitor the network devices controlled by that protocol, and generate threshold events accordingly.
  • network administrators create individualized ad hoc solutions. For example, in a network containing CMIP and SNMP protocols, a CMIP management system can be set up with a gateway to receive SNMP data. The gateway then changes the SNMP data into CMIP data. However, each such solution must be individually designed, tested, and implemented.
  • the present invention provides a universal data model that is able to set a common threshold for heterogeneous scalar measurement data and to respond to common threshold events in networks that monitor heterogeneous network devices.
  • the present invention provides a system that collects heterogeneous scalar measurement data over a network from a plurality of devices connected to the network, and automatically normalizes the collected heterogeneous scalar measurement data based on a threshold to generate an event based on a threshold crossing.
  • the system automatically derives a measurement from the collected heterogeneous scalar measurement data, and automatically scales the derived measurement or the collected heterogeneous scalar measurement data.
  • the system normalizes the collected heterogeneous scalar measurement data, the scaled derived measurement, the scaled collected heterogeneous scalar measurement data, or the derived measurement.
  • the present invention provides a system that includes a plurality of data collectors to collect heterogeneous scalar measurement data from a plurality of network devices.
  • the system also includes a derivation unit to derive a measurement from the collected heterogeneous scalar measurement data.
  • the system further includes a scaling unit to scale the derived measurement or the collected heterogeneous scalar measurement data.
  • the system also includes a normalization unit to normalize the scaled derived measurement, the scaled collected heterogeneous scalar measurement data, the derived measurement, or the collected heterogeneous scalar measurement data, based on a threshold.
  • the system further includes an event generation unit to generate an event based on the normalized data when the threshold is crossed.
  • FIG. 1 is a diagram illustrating a network connected to a plurality of devices, a data collector, an event system, and a threshold event organizer, according to embodiments of the present invention
  • FIG. 2 is a diagram illustrating a more detailed view of the threshold event organizer, the data collector, and the event system, according to embodiments of the present invention
  • FIG. 3 is a flow diagram illustrating the flow of heterogeneous scalar measurement data through the system, according to embodiments of the present invention
  • FIG. 4 is a flow diagram illustrating the normalization of data, according to embodiments of the present invention.
  • FIG. 5 is a diagram illustrating the display of normalized data in color, according to embodiments of the present invention.
  • Network devices may be controlled via different protocols, e.g., SNMP, XML, CMIP, http, Corba, IEEE-488, IDL, TL1, SCPI, ASCII, etc.
  • protocol e.g., SNMP, XML, CMIP, http, Corba, IEEE-488, IDL, TL1, SCPI, ASCII, etc.
  • heterogeneous is defined as “different in kind; unlike; incongruous.” Random House Webster's Unabridged Dictionary 897 (2 nd ed. 1998).
  • Scalar measurement data taken from a plurality of network devices controlled via different protocols is heterogeneous, for example, as to its source as well as, for example, type of value (e.g., floating point, integer, signed, unsigned, etc.), scale (e.g., truncated, positive, negative, variable, etc.), and/or time scale (e.g., intervalized, asynchronous, etc.).
  • type of value e.g., floating point, integer, signed, unsigned, etc.
  • scale e.g., truncated, positive, negative, variable, etc.
  • time scale e.g., intervalized, asynchronous, etc.
  • a network administrator may want to monitor the rate of packet flow through the router. If too many packets per second are flowing through the router, the network may become congested. The network administrator would need to gather the SNMP data, process the data, and determine whether a threshold was exceeded (i.e., too many packets per second). If the threshold was exceeded, an event is generated that can, for example, be displayed on an event viewer to notify the network administrator.
  • FIG. 1 is a diagram illustrating a network connected to a plurality of devices, a data collector, an event system, and a threshold event organizer, according to embodiments of the present invention.
  • network 700 may be any type of network, e.g., a LAN, WAN, switched, unswitched, ATM, ISDN, wireless, the Internet, etc.
  • network 700 could be a switching mesh that directly connects connected devices.
  • Devices 704 , 706 , and 708 are connected to network 700 and may be any type of network devices, e.g., a network element, a router, a switch, a PC, etc.
  • Devices 704 - 708 are controlled via a plurality of protocols, e.g., SNMP, XML, CMIP, etc.
  • Data collectors 710 (illustrated as one unit, but not limited thereto) are connected to network 700 , and they collect heterogeneous scalar measurement data from devices 704 - 708 .
  • Data collectors 710 are well-known in the art. Embodiments of the present invention are not limited to a particular number of data collectors.
  • Threshold event organizer 702 is also connected to network 700 , and normalizes the collected heterogeneous scalar measurement data based on a threshold to generate an event based on a threshold crossing.
  • Event system 712 is also connected to network 700 , and is a publish/subscribe system that publishes the event for access by subscribers.
  • FIG. 2 is a diagram illustrating a more detailed view of the threshold event organizer, the data collector, and the event system.
  • threshold event organizer 702 is connected to data collectors 710 and event system 712 via network 700 (not shown).
  • Data collectors 710 are connected to router 738 , memory 740 , network element (NE) 742 , network element (NE) 744 , network element (NE) 746 , and agent 748 via network 700 (not shown); however, embodiments of the present invention are not limited to the devices shown.
  • data collectors 710 may be connected to any type of network device. Heterogeneous scalar measurement data is collected by data collectors 710 and is intervalized if necessary.
  • the collected heterogeneous scalar measurement data may be collected on cardinal time points, whereby the values would have to be subtracted from the previous value in order to get the measurement for that data interval.
  • embodiments of the present invention are not limited to a specific intervalizing technique, as other intervalizing techniques can be used.
  • Threshold event organizer 702 includes, for example, derivation unit 730 , scaling unit 732 , normalization unit 734 , and event generation unit 736 .
  • the collected heterogeneous scalar measurement data is derived by derivation unit 730 if data must be expressed in a different format. For example, if the collected heterogeneous scalar measurement data indicates bytes per second through router 738 , that data may be derived by dividing by the speed of the router and applying appropriate factors for bits and byte diversion to get a percentage of utilization of the router. However, embodiments of the present invention are not limited to the previous example, as other derivations may occur.
  • the collected heterogeneous scalar measurement data or the derived measurement is scaled by scaling unit 732 if the data needs to be converted into different units.
  • the network administrator determines a threshold for purposes of generating an event when the threshold is crossed. For example, in regard to utilization, where zero percent utilization is the best and one hundred percent utilization is the worst, the network administrator may set a threshold at thirty-three percent utilization. Embodiments of the present invention are not limited to the setting of one threshold, as a greater number of thresholds may be set. For example, the network administrator may set another threshold at sixty-six percent utilization. Normalization unit 734 automatically normalizes the collected heterogeneous scalar measurement data, the scaled derived measurement, the scaled collected heterogeneous scalar measurement data, or the derived measurement based on the threshold.
  • data might be normalized, for example, to be zero at zero percent utilization, 1 at thirty-three percent utilization, 2 at sixty-six percent utilization, and 3 at one hundred percent utilization. Data falling between the thresholds would be normalized accordingly, e.g., 1.5 at fifty percent utilization.
  • the data is normalized by running the data through a function, where the following expression applies for the positive case (lower x is better):
  • x is the input to the transform function
  • y is the output thereof
  • Cmin is a minimum constraint value
  • Cmax is a maximum constraint value
  • Tyr is the second threshold expressed in the same units as the x value
  • Tgy is the first threshold expressed in the same units as the x value.
  • the expression may be modified for the negative case, where higher x is better, or composite cases where there are multiple positive and negative ranges within the input function.
  • Embodiments of the present invention are not limited to the RYG transform, as other functions for normalizing the data may be used.
  • Event generation unit 736 determines whether any threshold crossings have occurred, and if so, generates an event accordingly. For example, in the above example, if the normalized data was 1.5, an event would be generated to indicate that utilization crossed the first threshold, i.e., greater than thirty-three percent. In another example, if the normalized data was 2.5, two events would be generated to indicate that the utilization crossed the first and second thresholds, i.e., greater than thirty-three and sixty-six percent. For each event, the source, type, severity, and direction are generated.
  • Event system 712 distributes the events as they occur by publishing them for access by subscribers.
  • Event system 712 is connected to a plurality of subscribers, e.g., event viewer 750 , event policy system 752 , and external system 754 via network 700 (not shown); however, a greater or lesser number of subscribers may be connected to event system 712 .
  • Event viewer 750 displays the events to the network administrator.
  • event viewer 750 prints out a spreadsheet on paper; however embodiments of the present invention are not limited to printing out on paper.
  • event viewer 750 displays a chart on a screen. In another embodiment, the chart is displayed in color (see discussion of FIG. 5 below).
  • event viewer 750 displays events graphically on a time axis for correlation with other measurements, for example, network traffic, within a time domain. In another embodiment, event viewer 750 displays the total number of events within a specified time frame or frames.
  • Event policy system 752 takes some predetermined action upon accessing an event. In an embodiment, event policy system 752 pages the network administrator to notify him of the event; however, embodiments of the present invention are not limited to paging the network administrator. For example, in another embodiment, event policy system 752 shuts down network 700 .
  • External system 754 exports the event to another network. In an embodiment, external system 754 triggers the sending of an SNMP packet to a user on another network; however, embodiments of the present invention are not limited to sending an SNMP packet.
  • the network administrator or other recipient of an event may, for example, get more information about the event by requesting the same from threshold event organizer 702 .
  • Threshold event organizer 702 would then reverse the normalization process on the data that triggered the event, allowing the network administrator or recipient to view the collected heterogeneous scalar measurement data.
  • FIG. 3 is a flow diagram illustrating the flow of heterogeneous scalar measurement data through the system, according to embodiments of the present invention.
  • operation 770 heterogeneous scalar measurement data is collected. If the collected heterogeneous scalar measurement data needs to be intervalized, that is done during collection. In an embodiment, the collected heterogeneous scalar measurement data is automatically derived in operation 772 . In another embodiment, nothing is derived from the collected heterogeneous scalar measurement data, and operation 772 is bypassed via branch 773 . In an embodiment, the collected heterogeneous scalar measurement data, bypassing operation 772 via branch 773 , is automatically scaled in operation 774 .
  • the derived measurement is automatically scaled in operation 774 .
  • nothing is scaled, and operation 774 is bypassed via branch 775 .
  • the process moves to operation 776 , where the collected heterogeneous scalar measurement data, the scaled derived measurement, the scaled collected heterogeneous scalar measurement data, or the derived measurement is normalized (FIG. 4 defines operation 776 in greater detail).
  • the process moves to operation 778 , where if an event is not to be generated, the process returns to operation 770 and thereby continues collecting and normalizing data.
  • the process moves to operation 780 , where an event is generated in operation 780 .
  • the process moves to operation 782 , where the generated event is published for access by subscribers. From operation 782 , the process returns to operation 770 .
  • FIG. 4 is a flow diagram illustrating the normalization of data in operation 776 , according to embodiments of the present invention.
  • the normalizing includes defining a threshold. As stated previously, the present invention is not limited to defining or normalizing for one threshold. From operation 790 , the process moves to operation 792 , where a transform is run on the normalized data (see discussion thereof in regard to FIG. 2 ). From operation 792 , the process moves to operation 794 , where the normalized data is examined for threshold crossings.
  • FIG. 5 is a diagram illustrating the display of normalized data in color, according to embodiments of the present invention.
  • event viewer 750 may display a color chart on a screen.
  • FIG. 5 a graph of the percentage of time that the network element is unavailable using two thresholds is illustrated. For example, there is a threshold at 1.0% and another threshold at 2.0%. In another embodiment, another threshold exists at 3.0%.
  • the present invention is not limited to two or more thresholds, as there may be only one threshold in another embodiment.
  • the present invention is not limited to displaying only percentage of time of unavailability, as any other measurement may be displayed. In an embodiment as illustrated in FIG.
  • event viewer 750 displays the normalized data as vertical display elements comprising different colors, depending on the value of the normalized data. For example, for normalized data that is below the first threshold, i.e., 1.0, green may be used; for normalized data that is at or above the first threshold, i.e., 1.0, but below the second threshold, i.e., 2.0, yellow may be used; for normalized data that is at or above the second threshold, i.e., 2.0, red may be used.
  • the leftmost vertical display element may be illustrated with two colors, for example: green and yellow. This indicates that the normalized data at that particular time crossed the first threshold, i.e., 1.0, but not the second threshold, i.e., 2.0.
  • the rightmost vertical display element may be illustrated with only one color, for example: green. This indicates that the normalized data at that particular time did not cross any thresholds.
  • the vertical display element at 04:00 PM may be illustrated with three colors, for example: green, yellow, and red. This indicates that the normalized data at that particular time crossed two thresholds, i.e., 1.0 and 2.0.
  • event viewer 750 displays the current normalized data, i.e., 0.74, and the peak normalized data, i.e., 2.03.
  • the current normalized data may be represented by the rightmost vertical display element, while the peak normalized data may be represented by the vertical display element at 04:00 PM.
  • Embodiments of the present invention are not limited to the combination of red, yellow, and green. For example, any other color or color combination may be used. Embodiments of the present invention are not limited to particular colors for particular threshold ranges. For example, red or any other color may be used for normalized data below the first threshold, i.e., 1.0. Embodiments of the present invention are not limited to changing color when the normalized data equals a threshold. For example, normalized data may be displayed as green when at or below the first threshold, i.e., 1.0. Embodiments of the present invention are not limited to displaying normalized data in multiple colors per vertical display element.
  • the present invention could be configured to display normalized data that has not yet crossed the second threshold, i.e., 2.0, in one color instead of two.
  • Embodiments of the present invention are not limited to a graph on X and Y axes using vertical display elements.
  • a color spreadsheet or scatter plot may be used.
  • Embodiments of the present invention are not limited to displaying only one type and set of measurements at a time. For example, multiple graphs may be displayed on the same screen, each graph representing a different type and set of measurements, thresholds, etc.
  • the network, network devices, data collectors, threshold event organizer, event system, and subscribers included in the system may include, for example, memories, processors, and/or Application Specific Integrated Circuits (“ASICs”).
  • ASICs Application Specific Integrated Circuits
  • Such memory may include a machine-readable medium on which is stored a set of instructions (i.e., software) embodying any one, or all, of the methodologies described herein.
  • Software can reside, completely or at least partially, within this memory and/or within the processor and/or ASICs.
  • the term “machine-readable medium” shall be taken to include any mechanism that provides (i.e., stores and/or transmits) information in a form readable by a machine (e.g., a computer).
  • a machine-readable medium includes read only memory (“ROM”), random access memory (“RAM”), magnetic disk storage media; optical storage media, flash memory devices, electrical, optical, acoustical, or other form of propagated signals (e.g., carrier waves, infrared signals, digital signals, etc.), etc.
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